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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchicalfault diagnosis of bearings

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decisionThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: Their condition monitoring and fault diagnosis are essential in ensuring the safety and reliability ofVibration and discharge pressure signals are two common signals used for the fault diagnosis of axialrelated to multi-sensor data fusion for the pump fault diagnosis are limited.different pump health conditions are fused into RGB images and then recognized by a convolutional neural networkResults show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of

Keywords： axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and isTo solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which canThe results show that ACNN outperforms these HPO and ML/DL methods, validating its potential in fault diagnosis

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzyalgorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets,and fuzzy neural network; the diagnosis method based on the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theory and certainty factor model; and the diagnosis methodon the basis of the adaptive filtering technique and fuzzy neural network.

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional

Xuezhong Zhou,Yubing Li,Yonghong Peng,Jingqing Hu,Runshun Zhang,Liyun He,Yinghui Wang,Lijie Jiang,Shiyan Yan,Peng Li,Qi Xie,Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 337-346 doi: 10.1007/s11684-014-0349-8

Abstract:

Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularitiespersonalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosissettings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of networkinvestigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype networkThe investigation on this network would help us to gain understanding on the underlying mechanism of

Keywords： personalized medicine     complex network     clinical phenotype network     traditional Chinese medicine    

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Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Frontiers of Structural and Civil Engineering   Pages 1281-1294 doi: 10.1007/s11709-023-0975-9

Abstract: Subsequently, various indices for the damage diagnosis of concrete structures based on the curvaturemethod for concrete structures is established using an artificial bee colony backpropagation neural network

Keywords： hydraulic structure     curvature mode     damage detection     artifical neural network     artificial bee colony    

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A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Strategic Study of CAE 2001, Volume 3, Issue 9,   Pages 41-47

Abstract: The real-time monitoring network and artificial intelligent diagnosis technology for mechanical-electricThe Ethernet and FDDI based real-time monitoring network developed for compressors and pumps in petrochemicalThe black-gray-white gathering diagnosis method was given for the first time on the bases of approachThe mechanical fault diagnosis expert system based on black-gray-white gathering distinguishing sieve

Keywords： plant diagnosis engineering     real-time monitoring network     artificial intelligent diagnosis     first reason    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years.Therefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNNCompared with other classical deep learning methods, the proposed fault diagnosis method has considerable

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 10-16 doi: 10.1007/s11684-021-0889-7

Abstract: The prompt and precise diagnosis of symptomatic and asymptomatic carriers of Plasmodium parasitesof the China Malaria Elimination Action Plan in 2010, China has formulated clear goals for malaria diagnosisand has established a network of malaria diagnostic laboratories within medical and health institutionsnetwork was established to strengthen the quality assurance in malaria diagnosis.This review summarizes the lessons about malaria diagnosis in the elimination phase, primarily including

Keywords： malaria     laboratory diagnosis     quality control     malaria elimination     China    

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Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 157-175 doi: 10.1007/s11684-021-0884-z

Abstract: Therefore, early diagnosis of cancer is indispensable in the timely prevention and effective treatmentExosome has recently become an attractive cancer biomarker in noninvasive early diagnosis because ofsensitivity, and remarkable specificity, suggesting promising biomedical applications in the early diagnosisregarding the assay of exosomes were summarized, and the superiorities of exosomes as markers for the early diagnosisMoreover, the recent challenges and further opportunities of developing effective biosensors for the early diagnosis

Keywords： biosensor     exosome     cancer diagnosis    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The experimental results indicate that the result of the tomographic diagnosis of a single defect isDefects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0689-z

Abstract: However, they have not been introduced into gas face seal diagnosis tasks because of the unacceptable

Keywords： surrogate model     gas face seal     fault diagnosis     nonlinear dynamics     tribology    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.Machine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveaims to review the research and application of machine learning in the field of traction system fault diagnosisThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 275-279 doi: 10.1007/s11684-010-0101-y

Abstract: In the investigations of immunopathogenesis, diagnosis, and treatment of RSA since the late 1980s, itSystemic etiological screening process and diagnosis systems of RSA with immune type were developed,and anticardiolipin (ACL or ACA) + anti-β2-GP1 antibody combining multiple assays for effective diagnosisThe research achievement leads to great progress in the diagnosis and treatment of RSA in China.

Keywords： spontaneous abortion     recurrent     autoimmune     alloimmune     pathogenesis     diagnosis     immunotherapy    

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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.Numerical simulation and experimental results demonstrate the proposed method can realize gear fault diagnosisThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Title Author Date Type Operation

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchicalfault diagnosis of bearings

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional

Xuezhong Zhou,Yubing Li,Yonghong Peng,Jingqing Hu,Runshun Zhang,Liyun He,Yinghui Wang,Lijie Jiang,Shiyan Yan,Peng Li,Qi Xie,Baoyan Liu

Journal Article

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Journal Article

A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

Journal Article

Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article